A tool for interpreting simplified-model results from the LHC
Federico Ambrogi, Sabine Kraml, Suchita Kulkarni, Ursula Laa, Andre Lessa, Veronika Magerl, Wolfgang Magerl, Doris Proschofsky, Jory Sonneveld, Michael Traub, Wolfgang Waltenberger
The latest stable SModelS version (including the SModelS database) is available for download:
A detailed documentation is available in the online Manual v1.1.1
For questions and comments, send an e-mail to:
To receive updates and announcements, subscribe to smodels-info.
If you use SModelS-v1.1, please cite the SModelS v1.1 user manual (arXiv:1701.06586), the original SModelS paper (arXiv:1312.4175) as well as the tools used by the code: Pythia6.4, Pythia8, NLL-fast and PySLHA.
If you use the Fastlim database, please cite Fastlim 1.0: arXiv:1402.40492 , EPJC74 (2014) 11.
For convenience a .bib file is provided with the code containing all relevant references.
Likewise, a .bib file is provided in the database folder with references to all the ATLAS and CMS analyses used.
SModelS is based on a general procedure to decompose Beyond the Standard Model (BSM) collider signatures presenting a Z2 symmetry into Simplified Model Spectrum (SMS) topologies. Our method provides a way to cast BSM predictions for the LHC in a model independent framework, which can be directly confronted with the relevant experimental constraints. Our concrete implementation currently focusses on supersymmetry searches with missing energy, for which a large variety of SMS results from ATLAS and CMS are available. The main ingredients are
- the decomposition of the BSM spectrum into SMS topologies
- a database of experimental SMS results
the interface between decomposition and results database (to check limits)
SModelS v1.1 user manual
Federico Ambrogi, Sabine Kraml, Suchita Kulkarni, Ursula Laa, Andre Lessa, Veronika Magerl, Jory Sonneveld, Michael Traub, Wolfgang Waltenberger
Original SModelS paper
SModelS: a tool for interpreting simplified-model results from the LHC and its application to supersymmetry
Sabine Kraml, Suchita Kulkarni, Ursula Laa, Andre Lessa, Wolfgang Magerl, Doris Proschofsky, Wolfgang Waltenberger
arXiv:1312.4175EPJC May 2014, 74:2868
Code and Database updates
For code and database releases, see Download.
For instructions on how to install SModelS, check the installation section in the manual.
Experimental results in the database
Same as above but including superseded analyses
Pretty validation plots for all analyses
We also provide an SMS dictionary explaining the Tx names used by SModelS
Publications and Talks
See the publications and talks page
A wishlist regarding the presentation of SMS results was worked out at the 2013 Les Houches workshop, see this page.
For developers (internal)
Developers please visit the DevelopersPage.